Jun 20, 2003 10:21
20 yrs ago
41 viewers *
English term
Spain
Professional, Reliable & Committed
Native in: English 
, Portuguese
Works in: English to Portuguese, French to Spanish, Portuguese to Spanish, and 7 more.
alpha spending function
English to Portuguese
Medical
Clinical study
Statistical Methods:
Sequential monitoring will be based upon an O’Brien-Fleming alpha spending function
Sequential monitoring will be based upon an O’Brien-Fleming alpha spending function
Proposed translations
(Portuguese)
| 4 | função de consumo alfa |
Clauwolf
|
| 4 +1 | metodologia biométrica flexível ("spending"), enfoque biométrico flexível ("spending") |
Michael Powers (PhD)
|
| 4 | função de despesas alfa |
Henrique Magalhaes
|
Proposed translations
4 hrs
Selected
função de consumo alfa
:)
Da estatística:
9.2 Função de consumo. 9.3 Mínimos quadrados indiretos (MQI). ... FONSECA, Jairo
S.; MARTINS, Gilberto A. & TOLEDO, Geraldo L. Estatística aplicada. ...
www.fae.edu/economia/disciplinas/ ano3/intro_econometria.html - 11k - Em cache - Páginas Semelhantes
Da estatística:
9.2 Função de consumo. 9.3 Mínimos quadrados indiretos (MQI). ... FONSECA, Jairo
S.; MARTINS, Gilberto A. & TOLEDO, Geraldo L. Estatística aplicada. ...
www.fae.edu/economia/disciplinas/ ano3/intro_econometria.html - 11k - Em cache - Páginas Semelhantes
4 KudoZ points awarded for this answer.
Comment: "obrigado Cláudio!"
2 mins
Henrique Magalhaes
Native in Portuguese
Traduttore...ma non traditore!
Native in: Portuguese
Works in: English to Portuguese, French to Portuguese, Italian to Portuguese, and 4 more.
Related KudoZ points
:
175
função de despesas alfa
è o q. me surge de imediato... a ver se haverá outra interpretação.
+1
3 mins
Michael Powers (PhD)
United States
United States
Native in English
United States
US Court Cert. 1980 Ph.D. 1981
Native in: English
Works in: Spanish to English, Portuguese to English, English to Spanish, and 2 more.
Related KudoZ points
:
1693
metodologia biométrica flexível ("spending"), enfoque biométrico flexível ("spending")
+
--------------------------------------------------
Note added at 2003-06-20 10:26:11 (GMT)
--------------------------------------------------
Here is the specific terms and its definition:
David L. DeMets
Professor of Biostatistics and Statistics
David DeMets received a Ph.D. in Biostatistics from the University of Minnesota. The general theme of his research is the design, monitoring, and analysis of clinical trials, especially the randomized controlled clinical trial. A particular interest is developing statistics methodology for data monitoring and interim analysis. A very general and flexible method was developed by Lan and DeMets (1983, Biometrika) for group sequential boundaries using alpha spending function approach. This method removes restrictions of previous methods for requiring a fixed number of prespecified equally spaced analyses. Furthermore, the frequency of the interim analyses can be modified as decision points are reached. This alpha spending function approach can be applied to trials which compare means, proportions, survival curves, or regression curves. In addition to this statistical methodology, issues in the design of clinical trials, such as the role of surrogate outcome measures and multiple outcomes, are being considered.
Representative Publications
DeMets DL, Lan KKG. The alpha spending function approach to interim data analysis. In: Recent Advances in Clinical Trial Design and Analysis, Thall P (ed.). Kluver Academic Publishers, 2000.
Fleming TR, DeMets DL. Surrogate endpoints in clinical trials: Are we being misled? Annals of Internal Medicine 2000.
Gange SJ, DeMets DL. Sequential monitoring of clinical trials with correlated categorical responses. Biometrika 1996;83(1):157-167.
DeMets DL, Ellenberg SS, Fleming TR, Childress JF, Mayer KH, Pollard RB, Rahal JJ, Walters L, O\'Fallon J, Whitley-Williams P, Straus S, Sande M, Whitley RJ. The Data and Safety Monitoring Board and Acquired Immune Deficiency Syndrome (AIDS) clinical trials. Controlled Clinical Trials 1995;16:408-421.
Lee JW, DeMets DL. Group sequential comparison of changes: Ad-hoc versus more exact method. Biometrics 1995; 5121-20. THIS CITATION ISN\"T COMPLETE.
Task Force of the Working Group on Arrhythmias of the European Society of Cardiology. The early termination of clinical trials: Causes, consequences, and control - with special reference to trials in the field of arrhythmias and sudden death. Circulation 1994;89:2892-2907.
Lan KKG, Reboussin DM, DeMets DL. Information and information fractions for design and sequential monitoring of clinical trials. Communications in Statistics - Theory and Methods 1994;23:403-420.
DeMets DL, Lan KKG. Interim analysis: The alpha spending function approach. Statistics in Medicine 1994;13:1341-1352.
Alberts J, DeMets DL. On a model-based approach to estimating efficacy in clinical trials. Statistics in Medicine 1994;13:2323-2335.
Fleming TR, DeMets DL. Monitoring of clinical trials: Issues and recommendations. Controlled Clinical Trials 1993;14:183-197.
DeMets DL. Comment on \"Evaluating therpaeutic interventions: Some issues and experiences\" by TR Fleming. Statistical Science 1992;7:443-444.
Lee JW, DeMets DL. Sequential rank tests with repeated measurements in clinical trials. Journal of the American Statistical Association 1992;87:136-142.
Kim K, DeMets DL. Sample size determination for group sequential clinical trials with immediate response. Statistics in Medicine 1992;11:1391-1399.
Lin DY, Wei LJ, DeMets DL. Exact statistican inference for group sequential trials. Biometrics 1991;47:1399-1408.
Lee JW, DeMets DL. Sequential comparison of changes with repeated measurement data. Journal of the American Statistical Association 1991;86:757-762.
DeMets DL. Data monitoring and sequential analysis - an academic perspective. Journal of Acquired Immune Deficiency Syndrome 1990;3(Suppl 2):S124-S133.
Courses Taught
Stat 542, Introduction to Clinical Trials
Contact Information
David L. DeMets, Ph.D.
Department of Biostatistics and Medical Informatics
University of Wisconsin Medical School
Clinical Science Center K6/446
600 Highland Avenue
Madison, Wisconsin 53792-4675 USA
Phone: (608) 263-2947
Fax: (608) 263-1059
Email: [email protected]
--------------------------------------------------
Note added at 2003-06-20 10:27:34 (GMT)
--------------------------------------------------
metodologia biométrica flexível (\"spending\") alpha, enfoque biométrico flexível (\"spending\") alpha
--------------------------------------------------
Note added at 2003-06-20 10:26:11 (GMT)
--------------------------------------------------
Here is the specific terms and its definition:
David L. DeMets
Professor of Biostatistics and Statistics
David DeMets received a Ph.D. in Biostatistics from the University of Minnesota. The general theme of his research is the design, monitoring, and analysis of clinical trials, especially the randomized controlled clinical trial. A particular interest is developing statistics methodology for data monitoring and interim analysis. A very general and flexible method was developed by Lan and DeMets (1983, Biometrika) for group sequential boundaries using alpha spending function approach. This method removes restrictions of previous methods for requiring a fixed number of prespecified equally spaced analyses. Furthermore, the frequency of the interim analyses can be modified as decision points are reached. This alpha spending function approach can be applied to trials which compare means, proportions, survival curves, or regression curves. In addition to this statistical methodology, issues in the design of clinical trials, such as the role of surrogate outcome measures and multiple outcomes, are being considered.
Representative Publications
DeMets DL, Lan KKG. The alpha spending function approach to interim data analysis. In: Recent Advances in Clinical Trial Design and Analysis, Thall P (ed.). Kluver Academic Publishers, 2000.
Fleming TR, DeMets DL. Surrogate endpoints in clinical trials: Are we being misled? Annals of Internal Medicine 2000.
Gange SJ, DeMets DL. Sequential monitoring of clinical trials with correlated categorical responses. Biometrika 1996;83(1):157-167.
DeMets DL, Ellenberg SS, Fleming TR, Childress JF, Mayer KH, Pollard RB, Rahal JJ, Walters L, O\'Fallon J, Whitley-Williams P, Straus S, Sande M, Whitley RJ. The Data and Safety Monitoring Board and Acquired Immune Deficiency Syndrome (AIDS) clinical trials. Controlled Clinical Trials 1995;16:408-421.
Lee JW, DeMets DL. Group sequential comparison of changes: Ad-hoc versus more exact method. Biometrics 1995; 5121-20. THIS CITATION ISN\"T COMPLETE.
Task Force of the Working Group on Arrhythmias of the European Society of Cardiology. The early termination of clinical trials: Causes, consequences, and control - with special reference to trials in the field of arrhythmias and sudden death. Circulation 1994;89:2892-2907.
Lan KKG, Reboussin DM, DeMets DL. Information and information fractions for design and sequential monitoring of clinical trials. Communications in Statistics - Theory and Methods 1994;23:403-420.
DeMets DL, Lan KKG. Interim analysis: The alpha spending function approach. Statistics in Medicine 1994;13:1341-1352.
Alberts J, DeMets DL. On a model-based approach to estimating efficacy in clinical trials. Statistics in Medicine 1994;13:2323-2335.
Fleming TR, DeMets DL. Monitoring of clinical trials: Issues and recommendations. Controlled Clinical Trials 1993;14:183-197.
DeMets DL. Comment on \"Evaluating therpaeutic interventions: Some issues and experiences\" by TR Fleming. Statistical Science 1992;7:443-444.
Lee JW, DeMets DL. Sequential rank tests with repeated measurements in clinical trials. Journal of the American Statistical Association 1992;87:136-142.
Kim K, DeMets DL. Sample size determination for group sequential clinical trials with immediate response. Statistics in Medicine 1992;11:1391-1399.
Lin DY, Wei LJ, DeMets DL. Exact statistican inference for group sequential trials. Biometrics 1991;47:1399-1408.
Lee JW, DeMets DL. Sequential comparison of changes with repeated measurement data. Journal of the American Statistical Association 1991;86:757-762.
DeMets DL. Data monitoring and sequential analysis - an academic perspective. Journal of Acquired Immune Deficiency Syndrome 1990;3(Suppl 2):S124-S133.
Courses Taught
Stat 542, Introduction to Clinical Trials
Contact Information
David L. DeMets, Ph.D.
Department of Biostatistics and Medical Informatics
University of Wisconsin Medical School
Clinical Science Center K6/446
600 Highland Avenue
Madison, Wisconsin 53792-4675 USA
Phone: (608) 263-2947
Fax: (608) 263-1059
Email: [email protected]
--------------------------------------------------
Note added at 2003-06-20 10:27:34 (GMT)
--------------------------------------------------
metodologia biométrica flexível (\"spending\") alpha, enfoque biométrico flexível (\"spending\") alpha
Something went wrong...